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-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees
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: Statistical analysis & causal inference Data management, collection & visualization Social network analysis & graph theory Online tool/web development Running controlled experiments Game-theoretic modelling
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 12 days ago
theory, and data-driven methods. The postdoc will work in close collaboration with an interdisciplinary group of researchers and students in control theory, signal processing, neuroscience, and sports
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Control” (DP250101137). The Postdoctoral Research Fellow is expected to undertake research on control theory and machine learning techniques for project DP250101137. The Postdoctoral Research Fellow will
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Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of the following disciplines: advanced
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operations and assessing the effectiveness and adequacy of internal controls at the university. Internal audits are performed in accordance with the Professional Practices Framework established by
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theory Online tool/web development Running controlled experiments Game-theoretic modelling Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity
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mathematics. The skills expected for the position are: - excellent command of the theory of random processes, in particular measure-valued Markov processes; - good general knowledge of population dynamics
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finance / stochastic control / game theory augmented by agent-based and reinforcement learning based simulations. To maximise innovation and creativity in informatics / mathematics, applications from
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that the programme will combine ideas from a broad range of disciplines, including machine learning, control theory, differential equations, port-Hamiltonian systems theory, modelling of power systems, digital signal